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MLOps Courses

MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.


Popular MLOps Courses and Certifications


  • Status: Free Trial
    Free Trial
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    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    CertNexus

    Finalize a Data Science Project

    Skills you'll gain: Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Model Deployment, Project Closure, Data-Driven Decision-Making, Data Visualization, Data Science, Communication, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Preprocessing, Data Quality, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Data Pipelines, Jupyter, Big Data, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Preprocessing, Training Records Management, Machine Learning Methods, Data Collection, AI Enablement, Business Process, Business Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Systems Design, Google Cloud Platform, Analytics, Database Development, Data Infrastructure, Cloud Engineering, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Visualization, Data Storage Technologies, Scalability, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    L

    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Português

    Skills you'll gain: Generative AI, Google Gemini, Google Cloud Platform, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Model Deployment, Machine Learning, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    IA generativa: explora el panorama

    Skills you'll gain: Responsible AI, Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, AI Enablement, Cloud Platforms, Artificial Intelligence, No-Code Development, MLOps (Machine Learning Operations), Business Requirements

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular mlops courses

  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • Finalize a Data Science Project: CertNexus
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
  • Building a Machine Learning Solution: Coursera
  • Introduction to Transformer Models for NLP: Pearson
  • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
  • No-Code Machine Learning and Data Science for Everyone: LearnQuest
  • NLP System Architecture and Dev-Ops: Universidad Austral

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